{"query_echo":{"q":"","filters":{"geography":["Andhra Pradesh"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Andhra Pradesh' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":78,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Andhra+Pradesh","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Andhra+Pradesh&page=2","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"clipolin-001080","url":"https://climateinsightsdirectory.org/document/clipolin-001080","title":"Assessing Climate Risks to India’s Power Sector: A District-Level and Asset-Level Methodology for Climate-Resilient Power Systems","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2026-05","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/05/Discussion-paper-Assessing-Climate-Risks-to-Indias-Power-Sector.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper introduces the Climate Risk Assessment Framework (CRAF), a structured approach to quantify physical climate risks for India's power infrastructure. It addresses gaps in existing literature by moving from qualitative risk ratings to energy-denominated impact estimates, specifically Expected Annual Loss (EAL) and Energy Not Served (ENS). The methodology distinguishes between chronic stressors (causing performance derating) and acute events (causing sudden failure), providing a pathway for cost-benefit analysis of resilience investments to avoid stranded assets and unplanned retrofitting costs.","ai_generated":true,"unit":"clipolin-001080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's climate profile is shifting toward non-linear increases in temperature and precipitation extremes, with mean surface temperature rising approximately 0.9°C between 1901 and 2024.","ai_generated":true,"unit":"clipolin-001080#insight-1","date_modified":"2026-10-23"},{"text":"Climate-induced extreme weather events have caused significant financial losses for Asian power utilities, totaling USD 6.3 billion (INR 59,850 crore) annually.","ai_generated":true,"unit":"clipolin-001080#insight-2","date_modified":"2026-10-23"},{"text":"The proposed Climate Risk Assessment Framework (CRAF) uses a hazard–exposure–vulnerability (H×E×V) construct to quantify risk across seven analytical stages, moving from district-level hazard indices to financial impact estimates.","ai_generated":true,"unit":"clipolin-001080#insight-3","date_modified":"2026-10-23"},{"text":"The framework identifies two distinct impact pathways: chronic stress, which leads to performance derating (e.g., efficiency loss in solar PV modules), and acute stress, which causes sudden failure and outages (e.g., transmission tower collapse during cyclones).","ai_generated":true,"unit":"clipolin-001080#insight-4","date_modified":"2026-10-23"},{"text":"The methodology generates an Asset-Specific Climate Risk Factor (ACRF), a dimensionless comparative index used for spatial risk mapping and identifying hotspots across India's districts.","ai_generated":true,"unit":"clipolin-001080#insight-5","date_modified":"2026-10-23"},{"text":"Operational impacts are quantified as Expected Annual Loss (EAL) for generation assets and Energy Not Served (ENS) for transmission and distribution assets, both expressed in MWh per year.","ai_generated":true,"unit":"clipolin-001080#insight-6","date_modified":"2026-10-23"},{"text":"The framework includes a Cost-Benefit Analysis (CBA) module to evaluate resilience measures by comparing the Present Value of Benefits (avoided energy losses and repair costs) against the Present Value of Costs.","ai_generated":true,"unit":"clipolin-001080#insight-7","date_modified":"2026-10-23"},{"text":"As of 2026, India's total installed power capacity is approximately 520 GW, with a target for 60% of cumulative installed capacity to come from non-fossil fuel sources by 2035.","ai_generated":true,"unit":"clipolin-001080#insight-8","date_modified":"2026-10-23"}],"climate_tags":["electric power industry","climate change adaptation","climate resilience","photovoltaics","wind turbine","electric power transmission","climate finance","extreme weather event","national adaptation plan"],"geography_discussed":["Himachal Pradesh","Jharkhand","Maharashtra","Kerala","Tripura","Andhra Pradesh","Jammu & Kashmir","Ladakh","Bihar","Assam"],"frame_perspective":[],"analysis_type":["methodological framework","risk assessment"]},{"id":"iisd-003361","url":"https://climateinsightsdirectory.org/document/iisd-003361","title":"States in the Driver’s Seat","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2026-04","source_url":"https://www.iisd.org/system/files/2026-04/policies-electric-vehicles-battery-manufacturing-india.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the role of Indian state governments in localizing the EV and battery supply chain, arguing that while central policies provide strategic direction, states control critical levers like land, power, and regulatory clearances. It finds that net localization for high-cost components like batteries and motors remains below 20%. The study categorizes 14 states into 'leading', 'aspirational', 'emerging', and 'differentiated' based on their policy strength and manufacturing competitiveness. Key recommendations include shifting toward indirect equity investment models to de-risk upstream battery production, establishing a design-linked incentive for R&D, and introducing phased zero-emission vehicle (ZEV) mandates to create demand certainty.","ai_generated":true,"unit":"iisd-003361#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's domestic EV supply chain remains heavily dependent on imports, with net localization for high-cost components—including batteries, motors, DC-DC convertors, and on-board chargers—staying below 20%.","ai_generated":true,"unit":"iisd-003361#insight-1","date_modified":"2026-10-23"},{"text":"Central government supply-side policies, such as the Production Linked Incentive (PLI) schemes for automobiles and advanced chemistry cells, are translating into investments but result in geographically dispersed manufacturing outcomes.","ai_generated":true,"unit":"iisd-003361#insight-2","date_modified":"2026-10-23"},{"text":"State-level policies often lack deliberate coordination with central incentives, which limits the overall effectiveness of the incentive stack; Andhra Pradesh is the only state offering a structured top-up to central government incentives.","ai_generated":true,"unit":"iisd-003361#insight-3","date_modified":"2026-10-23"},{"text":"The report categorizes 14 Indian states based on policy strength and competitiveness: 'leading states' (Tamil Nadu, Gujarat, Maharashtra) have strong fundamentals and policies; 'aspirational states' (Andhra Pradesh, Telangana, Haryana, Punjab) have strong incentives but lower competitiveness; 'emerging states' (Uttar Pradesh, Madhya Pradesh, Rajasthan) focus on downstream assembly; and 'differentiated states' (Karnataka, Odisha, Chhattisgarh, West Bengal) suit niche segments.","ai_generated":true,"unit":"iisd-003361#insight-4","date_modified":"2026-10-23"},{"text":"Existing state and central policies are insufficient to de-risk midstream and upstream battery investments due to high capital and technology risks, as output-linked incentives like PLI only reward realized production.","ai_generated":true,"unit":"iisd-003361#insight-5","date_modified":"2026-10-23"},{"text":"There is a significant gap in the skilled workforce for deep-tech EV manufacturing; current training focuses heavily on repair and maintenance rather than manufacturing, with only 2,151 enrolments in manufacturing-related courses compared to 65,422 in service roles.","ai_generated":true,"unit":"iisd-003361#insight-6","date_modified":"2026-10-23"},{"text":"India lacks zero-emission vehicle (ZEV) mandates at both national and state levels, which 59% of surveyed industry respondents identified as the top supply-side enabler the central government could introduce to boost production.","ai_generated":true,"unit":"iisd-003361#insight-7","date_modified":"2026-10-23"}],"climate_tags":["electric vehicle","Battery Manufacturing","critical minerals","industrial policy","workforce development","climate finance"],"geography_discussed":["Tamil Nadu","Karnataka","Maharashtra","Gujarat","Uttar Pradesh","Andhra Pradesh","Telangana","Haryana","Rajasthan","Odisha","Chhattisgarh","Punjab","West Bengal","People's Republic of China","United States"],"frame_perspective":[],"analysis_type":["comparative policy analysis","industry survey","stakeholder consultation"]},{"id":"rmi-000495","url":"https://climateinsightsdirectory.org/document/rmi-000495","title":"Hydrogen trucking for India: economics, opportunities, and way forward","publisher":{"name":"RMI","organization":"rmi"},"document_type":"policy brief","language":"en","date_published":"2026-02-06","source_url":"https://rmi.org/resources/hydrogen-trucking-for-india-economics-opportunities-and-way-forward/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document evaluates the feasibility of fuel cell electric trucks (FCETs) and hydrogen internal combustion engine (ICE) trucks in India. It finds that while FCETs could be more cost-competitive than diesel trucks in long-haul, heavy-duty applications by 2040, they currently struggle to reach cost parity with battery electric trucks (BETs) due to high hydrogen fuel costs. These costs are driven by production, refueling infrastructure, and an 18% GST. The brief argues that hydrogen trucks are a critical complement to BETs for use cases requiring high payload and minimal downtime. It recommends a coordinated pathway involving capital subsidies, tax rationalization (reducing GST to 5%), and the development of public hydrogen refueling stations (HRS) to unlock the market.","ai_generated":true,"unit":"rmi-000495#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Fuel cell electric trucks (FCETs) are projected to become more cost-competitive than diesel trucks by 2040, particularly for 55-ton long-haul heavy-duty applications, though they are unlikely to reach cost parity with battery electric trucks (BETs) without significant reductions in fuel costs.","ai_generated":true,"unit":"rmi-000495#insight-1","date_modified":"2026-10-23"},{"text":"The high total cost of ownership (TCO) for hydrogen trucks is primarily driven by the price of hydrogen, which is influenced by production costs, refueling infrastructure, and an 18% goods and services tax (GST).","ai_generated":true,"unit":"rmi-000495#insight-2","date_modified":"2026-10-23"},{"text":"Hydrogen trucks offer operational advantages over BETs, specifically shorter refueling times and higher payload capacity, as they do not require the large, heavy battery packs that can reduce revenue for fully loaded applications.","ai_generated":true,"unit":"rmi-000495#insight-3","date_modified":"2026-10-23"},{"text":"LNG trucks currently have the lowest TCO among the analyzed technologies due to lower fuel costs, but they only reduce lifecycle CO2 emissions by 5% to 10% compared to diesel and risk creating a technology lock-in that delays the adoption of zero-emission vehicles.","ai_generated":true,"unit":"rmi-000495#insight-4","date_modified":"2026-10-23"},{"text":"To achieve cost parity between FCETs and BETs by 2030, hydrogen prices would need to drop to between INR 300/kg and INR 400/kg, which is approximately half of current projected prices.","ai_generated":true,"unit":"rmi-000495#insight-5","date_modified":"2026-10-23"},{"text":"Centralized hydrogen production using grid electricity and pipeline transport is found to be more expensive than off-grid, on-site solar hydrogen production due to higher electricity costs and additional transport expenses.","ai_generated":true,"unit":"rmi-000495#insight-6","date_modified":"2026-10-23"}],"climate_tags":["green hydrogen","total cost of ownership","decarbonization","freight transport","climate finance","carbon dioxide emissions"],"geography_discussed":["People's Republic of China","Mumbai","Pune","Delhi","Chhattisgarh","Gujarat","Surat","United States","Uttar Pradesh","Rajasthan","Telangana","Andhra Pradesh"],"frame_perspective":[],"analysis_type":["techno-economic analysis","policy assessment","comparative study"]},{"id":"iisd-000692","url":"https://climateinsightsdirectory.org/document/iisd-000692","title":"Mapping India’s Energy Policy 2026","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2026-02-01","source_url":"https://www.iisd.org/publications/digital-story/mapping-indias-energy-policy-2026","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes India's energy subsidy landscape in FY 2025 and FY 2026, highlighting a significant imbalance where fossil fuel subsidies are three times higher than clean energy subsidies. It details the fiscal strain on state governments due to rising electricity subsidies and the vulnerability of the national budget to global LPG and crude oil price volatility caused by conflict in the Gulf. The analysis argues for a strategic shift from recurring fossil fuel subsidies to one-time capital investments in renewable energy, electric cooking, and electric mobility to enhance energy security and fiscal sustainability.","ai_generated":true,"unit":"iisd-000692#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In financial year 2025 (FY 25), India's quantified energy subsidies totaled at least INR 4.3 lakh crore (USD 51 billion), representing 2.3% of real GDP. Of this total, 68% (INR 2.9 lakh crore) consisted of direct budgetary transfers.","ai_generated":true,"unit":"iisd-000692#insight-1","date_modified":"2026-10-23"},{"text":"Electricity consumption subsidies provided by state governments were the largest component of energy subsidies in FY 25, reaching INR 2,40,992 crore (USD 28 billion) and accounting for nearly 58% of all energy subsidies.","ai_generated":true,"unit":"iisd-000692#insight-2","date_modified":"2026-10-23"},{"text":"High electricity subsidy burdens are impacting state finances; in FY 25, five states—Punjab, Rajasthan, Andhra Pradesh, Karnataka, and Madhya Pradesh—spent between 9% and 20% of their state revenues on these subsidies. Punjab had the highest share at 20%.","ai_generated":true,"unit":"iisd-000692#insight-3","date_modified":"2026-10-23"},{"text":"LPG subsidies were the largest among fossil fuel subsidies in FY 25 at INR 71,718 crore (USD 8.4 billion), making up 17% of all energy subsidies. Due to global price volatility and conflict in the Gulf, annual LPG under-recoveries for oil marketing companies (OMCs) could exceed INR 60,000 crore (USD 7 billion) in FY 2026–27 if prices remain at INR 913 per refill.","ai_generated":true,"unit":"iisd-000692#insight-4","date_modified":"2026-10-23"},{"text":"Clean energy subsidies for electric vehicles (EVs) and renewable energy accounted for 10% of total energy subsidies in FY 25. Renewable energy subsidies peaked at INR 26,406 crore (USD 3 billion) in FY 25, with the PM Surya Ghar and PM-KUSUM schemes together representing 49% of that amount.","ai_generated":true,"unit":"iisd-000692#insight-5","date_modified":"2026-10-23"},{"text":"To stabilize prices during the Gulf conflict, the Government of India reduced excise duty by INR 10 per litre on petrol and diesel on March 27, 2026. If maintained through FY27, this is estimated to cause revenue losses of INR 1.3 lakh crore (USD 15 billion), or 0.4% of GDP.","ai_generated":true,"unit":"iisd-000692#insight-6","date_modified":"2026-10-23"},{"text":"Firm and dispatchable renewable energy (FDRE) is currently cheaper than the average power procurement cost of INR 5.38/kWh in 2024–25, with FDRE discovered tariffs between INR 4.76 and INR 4.77/kWh.","ai_generated":true,"unit":"iisd-000692#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy subsidy","renewable energy","electric vehicle","fossil fuel subsidy","rooftop photovoltaic system","biogas","energy security","fiscal policy"],"geography_discussed":["Punjab","Rajasthan","Andhra Pradesh","Karnataka","Madhya Pradesh","Odisha","Arunachal Pradesh","Nagaland","Bihar","Mizoram","Maharashtra","Haryana","Delhi","Himachal Pradesh","Uttarakhand"],"frame_perspective":[],"analysis_type":["fiscal analysis","policy assessment"]},{"id":"clipolin-001073","url":"https://climateinsightsdirectory.org/document/clipolin-001073","title":"An Introduction to Corporate Transition Assessments in India","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"guide","language":"en","date_published":"2026-02","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/02/CTA-Playbook.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document introduces the Corporate Transition Assessment (CTA) framework, designed for financial institutions in India to move beyond surface-level disclosures and evaluate a company's transition readiness across strategy, feasibility, and accountability. It specifically applies this framework to a case study of a leading Indian primary steel producer ('Company X'), detailing the process of mapping transition vulnerability, assessing decarbonisation strategies, and evaluating the technical and economic feasibility of levers such as green hydrogen, scrap utilisation, and Carbon Capture, Utilisation, and Storage (CCUS). The guide also provides a broader analysis of the Indian steel sector's decarbonisation landscape, including the role of government policies and the potential of various technology pathways to reach net-zero targets.","ai_generated":true,"unit":"clipolin-001073#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Corporate Transition Assessment (CTA) framework evaluates companies across three dimensions: strategy and ambition, feasibility, and accountability, with a specific emphasis on \"asset-level analysis, forward-looking investment alignment, and dependency mapping\".","ai_generated":true,"unit":"clipolin-001073#insight-1","date_modified":"2026-10-23"},{"text":"In the Indian steel sector, the Reserve Bank of India (RBI) is pushing banks to integrate climate risks into assessments through actions such as the \"Draft Expected Credit Loss Framework\" and the \"Draft disclosure framework for climate-related financial disclosures\".","ai_generated":true,"unit":"clipolin-001073#insight-2","date_modified":"2026-10-23"},{"text":"For the case study 'Company X', the analysis shows that while the company has a 2050 net-zero target, its current targets only cover 87% of capacity, and if all announced plants are built, the target would cover \"only 22% of projected production capacity\".","ai_generated":true,"unit":"clipolin-001073#insight-3","date_modified":"2026-10-23"},{"text":"Company X's transition is heavily dependent on the feasibility of CCUS because it continues to invest in the BF-BOF route; however, CCUS is currently \"unproven at scale globally\" and its deployment is hindered by the fact that some of the company's largest plants are \"isolated from carbon storage sites\".","ai_generated":true,"unit":"clipolin-001073#insight-4","date_modified":"2026-10-23"},{"text":"Scrap utilisation is a high-impact lever, but its scaling in India is limited by a fragmented recycling ecosystem where \"90% of steel recycling is informal and fragmented\".","ai_generated":true,"unit":"clipolin-001073#insight-5","date_modified":"2026-10-23"},{"text":"The Indian government is supporting industrial decarbonisation through several initiatives, including the \"INR19,744 cr Green Hydrogen Mission\" and an \"INR20,000 crore allocation to CCUS in the Union Budget 2026\u001327\".","ai_generated":true,"unit":"clipolin-001073#insight-6","date_modified":"2026-10-23"},{"text":"The document notes that the EU Carbon Border Adjustment Mechanism (CBAM) is the \"most immediate transition driver\" for Company X, as over 80% of its exports go to the EU.","ai_generated":true,"unit":"clipolin-001073#insight-7","date_modified":"2026-10-23"},{"text":"The guide suggests that banks can use CTAs to identify \"transition finance products tailored to sectoral transition needs\" and to inform \"realistic stress testing and scenario analysis\".","ai_generated":true,"unit":"clipolin-001073#insight-8","date_modified":"2026-10-23"}],"climate_tags":["decarbonization","green hydrogen","renewable energy","climate finance","sustainable finance","carbon neutrality","Carbon Border Adjustment Mechanism","energy efficiency"],"geography_discussed":["European Union","Maharashtra","Karnataka","Tamil Nadu","Odisha","Andhra Pradesh"],"frame_perspective":[],"analysis_type":["guide","case study","framework"]},{"id":"ember-000335","url":"https://climateinsightsdirectory.org/document/ember-000335","title":"Indian States’ Electricity Transition (SET) 2026","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2026","source_url":"https://ember-energy.org/app/uploads/2026/02/Indian-States-Electricity-Transition-SET-2026.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SET 2026 report assesses 21 Indian states on their electricity transition, finding that progress is fragmented and that leadership in one area, such as decarbonisation, does not automatically ensure system-wide readiness. While states like Karnataka and Himachal Pradesh lead in decarbonisation, and Delhi and Haryana excel in power ecosystem readiness, most states face structural gaps in areas like smart metering, energy storage, and DISCOM financial health. The report emphasizes the need for coordinated state-level interventions to align capacity additions with grid readiness and market-enabling policies.","ai_generated":true,"unit":"ember-000335#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Karnataka, Himachal Pradesh, and Kerala are the strongest performers in the decarbonisation dimension. Karnataka is noted for a renewable energy share of approximately 37% in its power procurement mix, while Himachal Pradesh recorded the highest renewable share at approximately 65% and the lowest emissions intensity.","ai_generated":true,"unit":"ember-000335#insight-1","date_modified":"2026-10-23"},{"text":"Delhi and Haryana lead in power ecosystem readiness and performance, characterized by high distributed solar adoption and reliable power supply. Delhi's distributed solar capacity reached 304MW as of March 2025, representing nearly 97% of its total solar capacity.","ai_generated":true,"unit":"ember-000335#insight-2","date_modified":"2026-10-23"},{"text":"Andhra Pradesh, Uttar Pradesh, and Rajasthan are high performers in market enablers due to regulatory initiatives like green tariffs, green open access, and solar-hour-aligned time-of-day (ToD) tariffs. Andhra Pradesh specifically has 1,440MW of pumped hydro storage capacity operational or under construction.","ai_generated":true,"unit":"ember-000335#insight-3","date_modified":"2026-10-23"},{"text":"Progress in the electricity transition is uneven across states; no single state among the 21 assessed demonstrates consistently strong performance across all three dimensions (decarbonisation, ecosystem readiness, and market enablers).","ai_generated":true,"unit":"ember-000335#insight-4","date_modified":"2026-10-23"},{"text":"Several states are in the early stages of transition, with West Bengal, Telangana, and Jharkhand showing the most scope for improvement. West Bengal's renewable share in procurement was only approximately 7% in FY2024.","ai_generated":true,"unit":"ember-000335#insight-5","date_modified":"2026-10-23"},{"text":"India achieved 50% of its installed power capacity from non-fossil sources by October 2025, meeting its original 2030 target five years early, with total installed renewable capacity reaching 251GW.","ai_generated":true,"unit":"ember-000335#insight-6","date_modified":"2026-10-23"},{"text":"Bihar has shown significant progress in smart meter deployment, achieving 78% progress under the Revamped Distribution Sector Scheme (RDSS) as of March 2025.","ai_generated":true,"unit":"ember-000335#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies critical gaps in the transition, including the need for improved DISCOM financial health, the adoption of direct benefit transfer (DBT) for subsidies, and the scaling of energy storage to meet a projected national need of 73.9GW by 2031-32.","ai_generated":true,"unit":"ember-000335#insight-8","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","decarbonization","energy efficiency","distributed solar photovoltaics","electric vehicle","green hydrogen","energy storage","battery energy storage system"],"geography_discussed":["Karnataka","Himachal Pradesh","Kerala","Tamil Nadu","Maharashtra","Rajasthan","Delhi","Haryana","Chhattisgarh","Bihar","Andhra Pradesh","Uttar Pradesh","Assam","Gujarat","Punjab","Odisha","Uttarakhand","West Bengal","Telangana","Jharkhand","Madhya Pradesh"],"frame_perspective":[],"analysis_type":["comparative state-level assessment","policy evaluation","performance indexing"]},{"id":"rmi-000341","url":"https://climateinsightsdirectory.org/document/rmi-000341","title":"Green Hydrogen Production Pathways for India","publisher":{"name":"RMI","organization":"rmi"},"document_type":"report","language":"en","date_published":"2025-07-10","source_url":"https://rmi.org/resources/green-hydrogen-production-pathways-for-india/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes green hydrogen production in India, finding that state-level transmission waivers and capital subsidies are critical for cost competitiveness. It compares on-site, ISTS-connected, and STU-connected project models, highlighting that while on-site projects avoid transmission costs, they face land and demand constraints. The study identifies Odisha as a leader in cost competitiveness due to aggressive incentive packages and emphasizes that off-site projects require at least a 50% cost reduction to compete with grey hydrogen.","ai_generated":true,"unit":"rmi-000341#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"State-level policy waivers and national support can reduce renewable power costs for green hydrogen projects by more than 90%. Odisha is the most competitive state, offering a unique additional ₹3/kWh ($0.036/kWh) waiver that can slash landed power costs by up to 94%.","ai_generated":true,"unit":"rmi-000341#insight-1","date_modified":"2026-10-23"},{"text":"Stand-alone on-site projects are highly cost-competitive, with production costs between $4.4/kg and $4.8/kg, and can see power cost reductions of 20%–22% through state capital subsidies of 25% to 35%. However, these projects are limited by land requirements and the need for proximity to industrial demand centers.","ai_generated":true,"unit":"rmi-000341#insight-2","date_modified":"2026-10-23"},{"text":"Projects connected to the Inter-State Transmission System (ISTS) or Central Transmission Utility (CTU) are often preferred by developers, offering production costs 20% to 30% lower than non-subsidized projects connected to State Transmission Utilities (STU).","ai_generated":true,"unit":"rmi-000341#insight-3","date_modified":"2026-10-23"},{"text":"Off-site projects require a minimum 50% reduction in production costs to become competitive with grey hydrogen. Transmission charges can increase the landed cost of power to 1.5–2.5 times the base renewable generation cost.","ai_generated":true,"unit":"rmi-000341#insight-4","date_modified":"2026-10-23"},{"text":"Increasing electrolyzer system utilization from 25% to 85% significantly reduces capital requirements—from nearly $1.8 billion to approximately $537 million for a 100 ktpa project—though gains in the levelized cost of hydrogen (LCOH) become marginal beyond 75% utilization.","ai_generated":true,"unit":"rmi-000341#insight-5","date_modified":"2026-10-23"},{"text":"Developers can optimize project size and cost by choosing between battery storage, hydrogen storage, or a hybrid approach. Battery storage allows for higher utilization but requires significantly more oversized renewable capacity (over 7 GW for a 100 ktpa project) compared to hydrogen storage (3 GW).","ai_generated":true,"unit":"rmi-000341#insight-6","date_modified":"2026-10-23"},{"text":"Oversizing renewable energy assets can create additional revenue streams by selling excess power into the electricity market. In Gujarat, this could reduce production costs by nearly 33%, while in Maharashtra, selling excess power at the Green Day Ahead Market (GDAM) price can offset costs by 15%.","ai_generated":true,"unit":"rmi-000341#insight-7","date_modified":"2026-10-23"},{"text":"Sourcing renewable energy through third-party Power Purchase Agreements (PPAs) allows for up to 100% plant utilization but results in the highest production costs ($5.9/kg to $8.5/kg) due to higher landed electricity costs compared to vertically integrated or captive models.","ai_generated":true,"unit":"rmi-000341#insight-8","date_modified":"2026-10-23"}],"climate_tags":["green hydrogen","renewable energy","solar energy","wind power","energy storage","battery energy storage system","power purchase agreement","decarbonization","energy security"],"geography_discussed":["Gujarat","Maharashtra","Rajasthan","Odisha","Telangana","Uttar Pradesh","West Bengal","Tamil Nadu","Himachal Pradesh","Andhra Pradesh","Karnataka","Uttarakhand","Kerala","Punjab","United States","European Union"],"frame_perspective":[],"analysis_type":["techno-economic analysis","policy assessment","optimization modeling"]},{"id":"ember-000363","url":"https://climateinsightsdirectory.org/document/ember-000363","title":"Powering India’s solar future through household demand flexibility","publisher":{"name":"Ember","organization":"ember"},"document_type":"policy brief","language":"en","date_published":"2025-04-17","source_url":"https://ember-energy.org/app/uploads/2025/04/Policy-Paper-Powering-Indias-solar-future-through-household-demand-flexibility.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The policy brief examines the introduction of solar-hour time of day (ToD) tariffs for Indian households starting April 1, 2025. It assesses how these tariffs, which offer rebates during solar generation hours and surcharges during peak hours, affect non-rooftop solar (non-RTS) and rooftop solar (RTS) consumers across several states. The analysis finds that while non-RTS consumers may see bill reductions of 1-4%, RTS consumers may face longer payback periods due to peak surcharges. The author emphasizes that successful implementation requires accelerated smart meter deployment and state-specific, seasonal tariff designs.","ai_generated":true,"unit":"ember-000363#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's electricity demand and peak demand are projected to grow significantly by 2031-32, with domestic consumers expected to account for approximately 31% of the total electricity requirement.","ai_generated":true,"unit":"ember-000363#insight-1","date_modified":"2026-10-23"},{"text":"The Electricity (Rights of Consumers) Amendment Rules, 2023 introduces a solar-hour ToD tariff structure where electricity is cheaper during solar hours (typically 9 a.m. - 5 p.m.) and more expensive during peak hours. For domestic consumers, the ToD tariff during peak hours should be at least 1.10 times the normal tariff, while solar hour tariffs should be at least 20% lower.","ai_generated":true,"unit":"ember-000363#insight-2","date_modified":"2026-10-23"},{"text":"As of April 1, 2025, Bihar, Gujarat, Madhya Pradesh, and Maharashtra have included domestic consumers in the solar-hour ToD structure, while Karnataka has deferred implementation due to a lack of surplus solar energy.","ai_generated":true,"unit":"ember-000363#insight-3","date_modified":"2026-10-23"},{"text":"Non-rooftop solar (non-RTS) consumers may experience electricity bill reductions between 1% and 4% depending on the state: Bihar (3-4%), Maharashtra (2-2.5%), Madhya Pradesh (1-2%), and Gujarat (1-2%).","ai_generated":true,"unit":"ember-000363#insight-4","date_modified":"2026-10-23"},{"text":"Rooftop solar (RTS) consumers derive limited benefit from solar-hour rebates because their systems already offset daytime demand, and they may face increased costs and longer system payback periods in states like Bihar and Madhya Pradesh where peak surcharges apply.","ai_generated":true,"unit":"ember-000363#insight-5","date_modified":"2026-10-23"},{"text":"The implementation of ToD tariffs is severely hindered by a lack of infrastructure; as of March 2025, only 10.8% of sanctioned smart consumer meters have been installed in India.","ai_generated":true,"unit":"ember-000363#insight-6","date_modified":"2026-10-23"}],"climate_tags":["solar energy","demand response","grid flexibility","rooftop photovoltaic system","electricity price"],"geography_discussed":["Bihar","Gujarat","Madhya Pradesh","Maharashtra","Karnataka","Telangana","Tamil Nadu","Andhra Pradesh","Rajasthan"],"frame_perspective":[],"analysis_type":["policy analysis","impact assessment"]},{"id":"ember-000370","url":"https://climateinsightsdirectory.org/document/ember-000370","title":"RE-powering India’s heavy industries: 20 GW today, 24/7 tomorrow","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2025-04-02","source_url":"https://ember-energy.org/app/uploads/2025/04/RE-powering-Indias-heavy-industries_-20-GW-today-24_7-tomorrow.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"India's heavy industries—steel, cement, and aluminium—have a 20 GW profitable opportunity to integrate solar power today through green energy open access, potentially reducing annual emissions by 29 million tonnes. While sourcing 50% renewable energy (RE) is currently cost-effective without storage, achieving 24/7 RE is prohibitively expensive, costing up to 3.5 times the price of standard RE generation due to the massive battery storage and capacity oversizing required. The report highlights that steel offers the most immediate cost-saving potential, whereas aluminium remains heavily reliant on captive coal power, requiring stronger regulatory mandates to transition.","ai_generated":true,"unit":"ember-000370#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A 20 GW solar market opportunity exists for the steel, cement, and aluminium sectors in India's top five producing states using green energy open access, which could eliminate 29 million tonnes of emissions annually.","ai_generated":true,"unit":"ember-000370#insight-1","date_modified":"2026-10-23"},{"text":"Steel is the most promising sector for immediate RE adoption, with a 9.4 GW opportunity. Solar power can reduce operational costs for standalone electric arc furnaces (EAF) by up to 10% and for direct reduced iron-arc furnace (DRI-EAF) plants by 2-5%.","ai_generated":true,"unit":"ember-000370#insight-2","date_modified":"2026-10-23"},{"text":"The cement sector has a 6.9 GW RE opportunity, but cost benefits are marginal compared to steel due to high cross-subsidy surcharges in top-producing states. Captive RE is the most viable route, offering potential savings of up to ₹0.5/kWh in Karnataka.","ai_generated":true,"unit":"ember-000370#insight-3","date_modified":"2026-10-23"},{"text":"Aluminium presents a 4.1 GW opportunity but faces a difficult transition because it relies almost entirely on low-cost captive coal power plants (CPPs). Transitioning will likely require regulatory 'sticks' rather than cost-based 'carrots'.","ai_generated":true,"unit":"ember-000370#insight-4","date_modified":"2026-10-23"},{"text":"Sourcing 50% of industrial electricity from variable RE is currently cost-effective and viable without battery storage, utilizing an optimal mix of solar and wind and leveraging grid banking.","ai_generated":true,"unit":"ember-000370#insight-5","date_modified":"2026-10-23"},{"text":"Achieving 24/7 RE is significantly more expensive, costing an average of ₹9.5/kWh, which is up to 3.5 times the cost of plain vanilla RE generation. This is driven by the need for massive solar oversizing and battery storage, with batteries accounting for up to 60% of the total cost.","ai_generated":true,"unit":"ember-000370#insight-6","date_modified":"2026-10-23"},{"text":"The financial and technical difficulty of RE integration increases sharply beyond 80% penetration. Moving from 90% to 100% (24/7) RE is the most cost-intensive phase, with the final 1% of penetration increasing the cost of supply by at least ₹2.5/kWh.","ai_generated":true,"unit":"ember-000370#insight-7","date_modified":"2026-10-23"},{"text":"Green tariffs offered by distribution companies (DISCOMs) could be a strategic tool to achieve 24/7 RE by meeting the final 30% of demand that is too expensive to cover via open-access storage.","ai_generated":true,"unit":"ember-000370#insight-8","date_modified":"2026-10-23"},{"text":"Odisha and Chhattisgarh are critical hubs for this transition, concentrating nearly 40% of the 20 GW open access solar opportunity due to their mineral wealth and supportive policies on surcharges.","ai_generated":true,"unit":"ember-000370#insight-9","date_modified":"2026-10-23"}],"climate_tags":["solar energy","wind energy","battery energy storage system","Industrial decarbonization","iron and steel industry","Carbon Border Adjustment Mechanism"],"geography_discussed":["Odisha","Chhattisgarh","Gujarat","West Bengal","Karnataka","Rajasthan","Andhra Pradesh","Madhya Pradesh","Uttar Pradesh"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","technical modeling","policy assessment"]},{"id":"clipolin-001139","url":"https://climateinsightsdirectory.org/document/clipolin-001139","title":"Green Investment Opportunities in India","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2025/10/Green-Investment-Opportunities-2025_Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies near-term, economically viable green investment opportunities in India across six emerging sectors—battery energy storage, green hydrogen, climate-smart agriculture, lithium-ion battery recycling, water, and sustainable cooling—to guide the channeling of private and institutional capital over a three to five-year horizon.","ai_generated":true,"unit":"clipolin-001139#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India faces a significant green finance gap, requiring USD 2.5 trillion by 2030 to meet its Nationally Determined Contributions (NDCs), while current flows cover only one-third of this need. Achieving net-zero by 2070 involves a funding gap of nearly USD 10 trillion, which is three times the country's GDP.","ai_generated":true,"unit":"clipolin-001139#insight-1","date_modified":"2026-10-23"},{"text":"The Battery Energy Storage Systems (BESS) sector is expanding rapidly, with installed capacity increasing nearly six-fold from 51 MWh in 2023 to 341 MWh in 2024. Capacity is projected to reach 208 GWh by 2030. Investment opportunities are shifting toward Battery Management Systems (BMS), which saw funding grow from USD 5.5 million in 2022 to USD 11 million in 2024.","ai_generated":true,"unit":"clipolin-001139#insight-2","date_modified":"2026-10-23"}],"climate_tags":["battery energy storage system","green hydrogen","Climate-smart agriculture","water management","climate finance","circular economy","regenerative agriculture","carbon capture and storage"],"geography_discussed":["Gujarat","Chhattisgarh","Bihar","Maharashtra","Andhra Pradesh"],"frame_perspective":[],"analysis_type":["investment analysis","sectoral assessment","policy review"]},{"id":"ember-000057","url":"https://climateinsightsdirectory.org/document/ember-000057","title":"Redirecting wind energy in India","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2024-10-08","source_url":"https://ember-energy.org/latest-insights/redirecting-wind-in-india","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"India's energy transition is heavily driven by solar power, but thermal energy still meets approximately 80% of demand during non-solar hours. The report highlights that wind energy provides critical diurnal, seasonal, and spatial complementarity to solar, which can stabilize the grid and lower tariffs through hybrid projects. To meet the 14th National Electricity Plan (NEP14) targets by 2032, India must add 122 GW of wind capacity, requiring a 22% year-on-year growth rate. The document outlines policy interventions such as revised Renewable Purchase Obligations (RPO), repowering older turbines, and the development of offshore wind in Gujarat and Tamil Nadu, while noting that state-level policy gaps and land acquisition remain significant hurdles.","ai_generated":true,"unit":"ember-000057#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Thermal power continues to dominate India's electricity supply during non-solar hours, meeting approximately 80% of total demand on average, while wind contributes only about 6%.","ai_generated":true,"unit":"ember-000057#insight-1","date_modified":"2026-10-23"},{"text":"Wind and solar energy in India exhibit temporal complementarity: solar peaks during the day, while wind often peaks during the night and early morning, and seasonal complementarity where wind generation increases during the monsoon (June–September) as solar generation decreases due to cloud cover.","ai_generated":true,"unit":"ember-000057#insight-2","date_modified":"2026-10-23"},{"text":"Had India achieved its 2022 wind target of 60 GW, wind energy could have fulfilled up to 14.5% of the demand during non-solar hours, reducing thermal reliance by approximately 7 percentage points.","ai_generated":true,"unit":"ember-000057#insight-3","date_modified":"2026-10-23"},{"text":"Wind-solar hybrid projects achieve lower tariffs than standalone wind projects due to higher capacity utilisation factors (CUF) and optimized transmission infrastructure. For example, a 1200 MW hybrid tender discovered tariffs between INR 3.43-3.46 per unit, compared to INR 3.60-3.70 per unit for a 1350 MW vanilla wind auction.","ai_generated":true,"unit":"ember-000057#insight-4","date_modified":"2026-10-23"},{"text":"To meet the 14th National Electricity Plan (NEP14) targets by March 2032, India needs to add 122 GW of wind capacity, which requires a year-on-year installation growth rate of 22%.","ai_generated":true,"unit":"ember-000057#insight-5","date_modified":"2026-10-23"},{"text":"The Indian government is implementing several policies to boost wind, including a revised Renewable Purchase Obligation (RPO) trajectory targeting 3.48% by 2030, a 50 GW annual bidding trajectory (with 10 GW reserved for wind from FY2024 to 2028), and a viability gap funding (VGF) scheme of INR 74.53 billion for offshore wind.","ai_generated":true,"unit":"ember-000057#insight-6","date_modified":"2026-10-23"},{"text":"India has significant potential for wind repowering, estimated at 25 GW for turbines up to 2 MW capacity. Tamil Nadu was the first state to launch a specific policy for repowering, refurbishing, and life extension in 2024.","ai_generated":true,"unit":"ember-000057#insight-7","date_modified":"2026-10-23"},{"text":"The wind sector provides substantial economic benefits, including 40,000 jobs in 2022 (per IRENA) and an annual domestic manufacturing capability of 17.25 GW, exporting components to the USA, Europe, Brazil, and Australia.","ai_generated":true,"unit":"ember-000057#insight-8","date_modified":"2026-10-23"}],"climate_tags":["wind energy","solar energy","energy transition","offshore wind power","energy storage","green job","Grid balancing"],"geography_discussed":["Gujarat","Tamil Nadu","Rajasthan","Andhra Pradesh","Telangana","Australia","Brazil","Europe","United States"],"frame_perspective":[],"analysis_type":["policy analysis","technical assessment","economic analysis"]},{"id":"climcent-000288","url":"https://climateinsightsdirectory.org/document/climcent-000288","title":"Heat Trends for Holi","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"research paper","language":"en","date_published":"2024","source_url":"https://assets.ctfassets.net/cxgxgstp8r5d/1dXKX2iBQwBQ9EChWx9jiS/4e63cf8a807f65ed7f92b90393f9544f/Climate_Central_analysis_Heat_Trends_for_Holi_2024.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis finds that all regions of India experienced net warming in March and April since 1970, with the fastest March warming in Jammu and Kashmir. The probability of temperatures exceeding 40°C during late March has expanded from three states in the 1970s to nine states in 2024, with Bilaspur currently facing the highest risk at 31%.","ai_generated":true,"unit":"climcent-000288#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Every region analyzed in India showed net warming during March and April since 1970. The most significant March warming occurred in Jammu and Kashmir, with a change of 2.8°C, while Mizoram saw the largest April change at 1.9°C.","ai_generated":true,"unit":"climcent-000288#insight-1","date_modified":"2026-10-23"},{"text":"The risk of temperatures exceeding 40°C during the Holi period (late March/early April) has increased significantly. In the early 1970s, only Maharashtra, Chhattisgarh, and Bihar had more than a 5% chance of reaching these temperatures; in 2024, this risk extends to nine states, including Rajasthan, Gujarat, Telangana, Madhya Pradesh, Odisha, and Andhra Pradesh.","ai_generated":true,"unit":"climcent-000288#insight-2","date_modified":"2026-10-23"},{"text":"City-level analysis shows that 37 of 51 large cities now have at least a 1% chance of experiencing temperatures of 40°C or warmer, with 11 cities exceeding a 10% probability. Bilaspur has the highest current risk at 31%, and Indore has seen the largest relative increase in risk, now 8.1 times higher than in the 1970s.","ai_generated":true,"unit":"climcent-000288#insight-3","date_modified":"2026-10-23"}],"climate_tags":["extreme heat","climate change","extreme event attribution"],"geography_discussed":["Jammu and Kashmir","Mizoram","Maharashtra","Chhattisgarh","Bihar","Rajasthan","Gujarat","Telangana","Madhya Pradesh","Odisha","Andhra Pradesh","Bilaspur","Indore","Madurai","Bhopal"],"frame_perspective":[],"analysis_type":["trend analysis","probabilistic risk assessment"]},{"id":"ember-000334","url":"https://climateinsightsdirectory.org/document/ember-000334","title":"Indian States’ Electricity Transition (SET): 2024","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2024","source_url":"https://ember-energy.org/app/uploads/2024/11/Indian-States-Electricity-Transition-SET-2024.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2024 Indian States’ Electricity Transition (SET) report identifies Gujarat and Karnataka as consistent top performers in decarbonising their power sectors and preparing their market ecosystems. While some states like Delhi and Odisha show high readiness or strong market enablers, they struggle with actual decarbonisation. Conversely, states such as Jharkhand, Bihar, West Bengal, and Uttar Pradesh exhibit structural challenges and slow progress across all dimensions. The report recommends strengthening state-level regulatory frameworks and developing specific subnational transition plans to address these uneven disparities.","ai_generated":true,"unit":"ember-000334#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Gujarat and Karnataka are the most consistent top performers, demonstrating strength in integrating renewable energy, power system preparedness, and the presence of robust market enablers across two report iterations.","ai_generated":true,"unit":"ember-000334#insight-1","date_modified":"2026-10-23"},{"text":"Several states show a disconnect where they possess the necessary infrastructure or policy enablers but fail to achieve significant decarbonisation; notably, Odisha has strong market enablers and Delhi has a prepared power system, yet both struggle with actual emission reductions.","ai_generated":true,"unit":"ember-000334#insight-2","date_modified":"2026-10-23"},{"text":"Jharkhand, Bihar, West Bengal, and Uttar Pradesh consistently show the slowest progress across most parameters, suggesting deep-rooted structural challenges in their electricity transitions.","ai_generated":true,"unit":"ember-000334#insight-3","date_modified":"2026-10-23"},{"text":"Progress is uneven across other states: Kerala and Punjab perform poorly regarding market enablers, while Andhra Pradesh and Maharashtra struggle with the readiness of their power ecosystems.","ai_generated":true,"unit":"ember-000334#insight-4","date_modified":"2026-10-23"},{"text":"In the decarbonisation dimension, Karnataka is the top performer, with renewable energy accounting for approximately 37% of its total electricity consumption.","ai_generated":true,"unit":"ember-000334#insight-5","date_modified":"2026-10-23"},{"text":"Rajasthan is the highest contributor to renewable energy capacity additions among the 21 states from 2019 to February 2024, adding approximately 16GW (about 31% of the total), though its overall decarbonisation rank is mid-table due to high emissions intensity and low energy efficiency scores.","ai_generated":true,"unit":"ember-000334#insight-6","date_modified":"2026-10-23"},{"text":"Delhi is the top performer in power ecosystem readiness, specifically in distributed solar energy, where rooftop and off-grid solar make up 71% of its total renewable installed capacity as of February 2024.","ai_generated":true,"unit":"ember-000334#insight-7","date_modified":"2026-10-23"},{"text":"Odisha is the top performer in market enablers, featuring the lowest incremental green tariff rate at Rs0.25/kWh and a robust policy ecosystem for electric vehicles.","ai_generated":true,"unit":"ember-000334#insight-8","date_modified":"2026-10-23"},{"text":"Tamil Nadu's power ecosystem readiness is very low, primarily due to poor DISCOM performance, with the state DISCOM reporting a loss of Rs91.92 billion for FY2023.","ai_generated":true,"unit":"ember-000334#insight-9","date_modified":"2026-10-23"},{"text":"Bihar's renewable energy sector is underdeveloped due to outdated policy frameworks; its targets and policies have not been updated since 2017, and it achieved only 420MW of its 3433MW target by February 2024.","ai_generated":true,"unit":"ember-000334#insight-10","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","decarbonization","electric power industry","energy efficiency","green hydrogen","electric vehicle","energy storage","electricity distribution","climate finance","just transition"],"geography_discussed":["Karnataka","Gujarat","Odisha","Delhi","Jharkhand","Bihar","West Bengal","Uttar Pradesh","Kerala","Haryana","Andhra Pradesh","Punjab","Himachal Pradesh","Maharashtra","Rajasthan","Tamil Nadu","Telangana","Uttarakhand","Chhattisgarh","Assam"],"frame_perspective":[],"analysis_type":["comparative assessment","performance benchmarking"]},{"id":"gclifun-004942","url":"https://climateinsightsdirectory.org/document/gclifun-004942","title":"Compressed Bio-Gas Development Project for Sustainable Alternative Towards Affordable Transportation","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2023-09-25","source_url":"https://www.greenclimate.fund/sites/default/files/document/30090-compressed-bio-gas-development-project-sustainable-alternative-towards-affordable.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project proposes an $810 million facility to overcome financial and technical barriers to compressed bio-gas (CBG) development in India. By providing a blend of ADB loans, GCF grants, and partial credit guarantees, the project aims to encourage participating financial institutions (PFIs) to lend to CBG developers. The initiative targets a reduction of 124 million tCO2eq over 10 years by replacing fossil-fuel-based compressed natural gas (CNG) and reducing crop residue burning. It includes a $10 million technical assistance component to build capacity in the CBG value chain, from feedstock collection to offtake.","ai_generated":true,"unit":"gclifun-004942#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project aims to mitigate climate change by avoiding an estimated 124 million tCO2eq of greenhouse gas emissions over a 10-year lifespan, averaging 12.4 million tons per year.","ai_generated":true,"unit":"gclifun-004942#insight-1","date_modified":"2026-10-23"},{"text":"India faces severe air pollution, particularly in New Delhi, where particulate matter emissions from crop residue burning are 17 times higher than all other sources combined, including vehicle emissions and industry.","ai_generated":true,"unit":"gclifun-004942#insight-2","date_modified":"2026-10-23"},{"text":"The project addresses India's high reliance on imported fuels, noting that imports account for 85% of crude oil, 75% of liquefied petroleum gas, and 50% of liquefied natural gas on a consumption basis.","ai_generated":true,"unit":"gclifun-004942#insight-3","date_modified":"2026-10-23"},{"text":"Financial barriers hindering CBG development include high production costs, a lack of clear value chain mechanisms for feedstock and offtake, and a high risk perception among local financial institutions, which often demand excessive collateral.","ai_generated":true,"unit":"gclifun-004942#insight-4","date_modified":"2026-10-23"},{"text":"The proposed 'SATAT facility' will be managed by the Oil Industry Development Board (OIDB) with the State Bank of India (SBI) as fund manager, utilizing $400 million in ADB and co-financier loans to be on-lent to participating financial institutions (PFIs).","ai_generated":true,"unit":"gclifun-004942#insight-5","date_modified":"2026-10-23"},{"text":"The GCF's contribution consists of a $70 million partial credit guarantee to reduce collateral requirements for developers, a $20 million grant for seed money, and a $10 million technical assistance grant.","ai_generated":true,"unit":"gclifun-004942#insight-6","date_modified":"2026-10-23"},{"text":"To mitigate offtake risk, public oil and gas companies—including IOCL, HPCL, BPCL, and GAIL—are mandated to purchase CBG at fixed prices through long-term commercial agreements, typically valid for 15 years.","ai_generated":true,"unit":"gclifun-004942#insight-7","date_modified":"2026-10-23"},{"text":"The initiative promotes a circular economy by using agricultural residues and municipal solid waste (MSW) as feedstock, while producing organic fertilizers as a byproduct to reduce chemical fertilizer use.","ai_generated":true,"unit":"gclifun-004942#insight-8","date_modified":"2026-10-23"},{"text":"The project includes a gender-inclusive approach to empower rural and urban poor women, specifically targeting those who work in agriculture (over 80% of rural women) and female waste pickers for roles in feedstock collection and segregation.","ai_generated":true,"unit":"gclifun-004942#insight-9","date_modified":"2026-10-23"}],"climate_tags":["circular economy","climate finance","energy security","methane emissions","gender equality"],"geography_discussed":["New Delhi","Andhra Pradesh","Gujarat","Maharashtra","Madhya Pradesh","Tamil Nadu","Telangana","Uttar Pradesh"],"frame_perspective":[],"analysis_type":["project proposal","financial mechanism design"]},{"id":"iisd-003708","url":"https://climateinsightsdirectory.org/document/iisd-003708","title":"Voluntary Sustainability Standards in South Asia","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2023-03","source_url":"https://www.iisd.org/system/files/2023-03/voluntary-sustainability-standards-south-asia-cotton-supply.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the role of voluntary sustainability standards (VSSs) in the South Asian cotton sector, specifically in Bangladesh, India, Pakistan, and Sri Lanka. It identifies three primary sustainability challenges: excessive synthetic pesticide use, severe water depletion, and volatile farmer incomes. The analysis finds that VSSs like Better Cotton, Organic, Fairtrade, and the REEL Cotton Code have significant market potential, particularly those allowing genetically modified (GM) cotton, which dominates the region. Spatial analysis indicates that VSSs are largely implemented in high-need areas, though gaps remain in regions like Andhra Pradesh and Haryana. The report concludes that while VSSs provide a framework for sustainable production, there is a lack of integrated regional policy or trade agreement provisions to scale these benefits, recommending stronger alignment between government policies and VSS requirements.","ai_generated":true,"unit":"iisd-003708#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"South Asia's cotton sector is a major global contributor, providing approximately 30% of total global cotton lint production annually between 2008 and 2018.","ai_generated":true,"unit":"iisd-003708#insight-1","date_modified":"2026-10-23"},{"text":"The prevalence of genetically modified (GM) cotton in South Asia significantly dictates the expansion potential of different VSSs; Better Cotton and the REEL Cotton Code have higher growth potential because they allow GM cotton, whereas Organic and Fairtrade standards prohibit it.","ai_generated":true,"unit":"iisd-003708#insight-2","date_modified":"2026-10-23"},{"text":"VSSs can effectively reduce the use of hazardous chemicals; for example, the REEL program in India achieved an average reduction of 52% in pesticide consumption between 2014 and 2015, and Better Cotton farmers in India and Pakistan reduced consumption by 10% and 18% respectively.","ai_generated":true,"unit":"iisd-003708#insight-3","date_modified":"2026-10-23"},{"text":"Water depletion is a critical issue in South Asian cotton-growing regions, with watersheds in Gujarat, Rajasthan, Haryana, Punjab (India), and Punjab and Sindh (Pakistan) experiencing depletion levels greater than 75%.","ai_generated":true,"unit":"iisd-003708#insight-4","date_modified":"2026-10-23"},{"text":"VSSs improve farmer profitability through different mechanisms: Better Cotton and REEL focus on lowering production costs and improving fibre quality, while Organic and Fairtrade provide price premiums.","ai_generated":true,"unit":"iisd-003708#insight-5","date_modified":"2026-10-23"},{"text":"Existing intraregional trade agreements, including SAFTA and APTA, lack specific provisions to actively promote sustainable production practices in the cotton sector, relying instead on broad general exceptions.","ai_generated":true,"unit":"iisd-003708#insight-6","date_modified":"2026-10-23"},{"text":"India is a global leader in several VSS categories, serving as the largest global purveyor of Organic, Fairtrade, and REEL-certified cotton, and the second-largest purveyor of Better Cotton.","ai_generated":true,"unit":"iisd-003708#insight-7","date_modified":"2026-10-23"},{"text":"Textile processing standards like GOTS and the Fairtrade Textile Standard address the downstream impacts of cotton production, requiring wastewater treatment and the payment of wages that meet basic needs.","ai_generated":true,"unit":"iisd-003708#insight-8","date_modified":"2026-10-23"}],"climate_tags":["water conservation","organic agriculture","agricultural productivity"],"geography_discussed":["Punjab","Sindh","Haryana","Rajasthan","Andhra Pradesh","Balochistan"],"frame_perspective":[],"analysis_type":["policy analysis","spatial analysis","market potential assessment"]},{"id":"ember-000312","url":"https://climateinsightsdirectory.org/document/ember-000312","title":"The good news and bad news of India’s race to 175 GW renewables","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-09-22","source_url":"https://ember-energy.org/app/uploads/2024/11/FINAL-Report-The-good-news-and-bad-news-of-Indias-race-to-175-GW-renewables-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"As of August 2022, India had installed 116 GW of renewable energy, achieving 66% of its 175 GW target for December 2022. While solar power is driving growth, with 9.8 GW installed between January and August 2022, wind energy installations have slowed. Progress is highly uneven across states; Gujarat, Telangana, Rajasthan, and Karnataka have met their 2022 targets, while Maharashtra, Uttar Pradesh, Andhra Pradesh, and Madhya Pradesh account for 61% of the national target shortfall. To reach the 2030 target of 450 GW, India must increase its monthly installation rate to 3.7 GW, which is 2.5 times the average rate seen in the first eight months of 2022.","ai_generated":true,"unit":"ember-000312#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India has reached 66% of its 175 GW renewable energy target for December 2022, with 116 GW installed as of August 2022. Renewable capacity installations in the first eight months of 2022 were 17% higher than in the same period in 2021, totaling 11.1 GW compared to 9.5 GW.","ai_generated":true,"unit":"ember-000312#insight-1","date_modified":"2026-10-23"},{"text":"Solar energy is the primary driver of growth, accounting for 89% of all new renewable capacity from January to August 2022, with 9.8 GW installed. In contrast, wind energy accounted for only 10% of growth, with 1.1 GW installed, while small hydro and bioenergy contributed just 1%.","ai_generated":true,"unit":"ember-000312#insight-2","date_modified":"2026-10-23"},{"text":"To meet the 2030 national target of 450 GW, India needs to install 334 GW over the next 91 months, requiring a monthly addition of 3.7 GW. This is 2.5 times the average installation rate of 1.4 GW recorded between January and August 2022.","ai_generated":true,"unit":"ember-000312#insight-3","date_modified":"2026-10-23"},{"text":"Renewable energy progress varies significantly by state. Gujarat, Telangana, Rajasthan, and Karnataka have already met their 2022 targets. However, 61% of the national shortfall toward the 175 GW target is concentrated in four states: Maharashtra (11.1 GW), Uttar Pradesh (9.7 GW), Andhra Pradesh (9.2 GW), and Madhya Pradesh (6.5 GW).","ai_generated":true,"unit":"ember-000312#insight-4","date_modified":"2026-10-23"},{"text":"A rise in basic customs duty in March 2022 caused a collapse in imported solar panels during the summer, increasing cost pressures on approximately 4.4 GW of solar projects currently under implementation.","ai_generated":true,"unit":"ember-000312#insight-5","date_modified":"2026-10-23"}],"climate_tags":["solar energy","wind power","renewable energy","bioenergy","small hydro"],"geography_discussed":["Gujarat","Telangana","Rajasthan","Karnataka","Maharashtra","Uttar Pradesh","Andhra Pradesh","Madhya Pradesh"],"frame_perspective":[],"analysis_type":["progress tracking","trend analysis"]},{"id":"iisd-001428","url":"https://climateinsightsdirectory.org/document/iisd-001428","title":"Fuel Subsidies to Marine Fisheries in India: An overview","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"policy brief","language":"en","date_published":"2022-07","source_url":"https://www.iisd.org/system/files/2022-07/fuel-subsidies-marine-fisheries-india.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies fuel subsidies as the most significant form of government support for India's marine fisheries, accounting for an estimated 32% of total support in FY 2019. These subsidies, provided exclusively by state governments, primarily benefit larger-scale operations and risk increasing fishing efforts beyond sustainable levels. The brief highlights regional variations among focus states—Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu—and suggests that India's experience with broader fossil fuel subsidy reforms, such as phased price hikes and providing clean alternatives, can inform the transition toward more sustainable support for small-scale fishers.","ai_generated":true,"unit":"iisd-001428#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Fuel subsidies are the most substantial form of government support for marine fisheries in India, representing approximately 32% of total sector support in fiscal year 2019.","ai_generated":true,"unit":"iisd-001428#insight-1","date_modified":"2026-10-23"},{"text":"Fuel subsidies are provided solely by state governments through mechanisms such as sales tax exemptions, reimbursements, direct bank credits, or low-price retail outlets for diesel and kerosene.","ai_generated":true,"unit":"iisd-001428#insight-2","date_modified":"2026-10-23"},{"text":"Between 2016 and 2019, fuel subsidies in four focus states (Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu) grew by 142%, though they decreased slightly between 2019 and 2021.","ai_generated":true,"unit":"iisd-001428#insight-3","date_modified":"2026-10-23"},{"text":"There is significant regional variation in subsidy types: Tamil Nadu has the highest diesel subsidies, while Kerala provides the largest kerosene subsidies for small-scale fishers and provides no diesel subsidies despite having many mechanized vessels.","ai_generated":true,"unit":"iisd-001428#insight-4","date_modified":"2026-10-23"},{"text":"Fuel subsidies often disproportionately benefit larger-scale fishing operations over low-income fishers; in Karnataka, vessels over 130 horsepower can receive up to four times more diesel support than those under 40 horsepower.","ai_generated":true,"unit":"iisd-001428#insight-5","date_modified":"2026-10-23"},{"text":"Fuel subsidies risk environmental sustainability by increasing fishing efforts beyond sustainable levels, particularly in India's largely open-access marine fisheries.","ai_generated":true,"unit":"iisd-001428#insight-6","date_modified":"2026-10-23"},{"text":"India's broader fossil fuel reform experience suggests that phased price increases and the provision of viable alternatives—such as LPG conversion kits or electric motors being tested in Kerala—can mitigate economic shocks and political opposition.","ai_generated":true,"unit":"iisd-001428#insight-7","date_modified":"2026-10-23"}],"climate_tags":["diesel fuel"],"geography_discussed":["Andhra Pradesh","Karnataka","Kerala","Tamil Nadu"],"frame_perspective":[],"analysis_type":["policy analysis","socio-economic assessment"]},{"id":"ember-000336","url":"https://climateinsightsdirectory.org/document/ember-000336","title":"India’s Race to 175 GW","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-04-28","source_url":"https://ember-energy.org/app/uploads/2024/10/Indias-Race-to-175-GW.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"As of March 2022, India had installed 110 GW of renewable energy (RE) capacity, representing 63% of its 175 GW target for December 2022. Progress is highly uneven across states; while Telangana, Rajasthan, Karnataka, and Andaman and Nicobar have surpassed their targets, 27 states and union territories have achieved less than 50% of their goals. Five states—Maharashtra, Uttar Pradesh, Andhra Pradesh, Madhya Pradesh, and Tamil Nadu—account for two-thirds of the national shortfall. Recent growth has been heavily concentrated in Rajasthan and Gujarat, which together provided 73% of new RE capacity between October 2021 and March 2022. To meet the 2030 target of 450 GW RE, India requires an average annual addition of 42.5 GW.","ai_generated":true,"unit":"ember-000336#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"By March 2022, India's installed renewable energy capacity (excluding large hydro) was 110 GW, which is 63% of the 175 GW target set for December 2022.","ai_generated":true,"unit":"ember-000336#insight-1","date_modified":"2026-10-23"},{"text":"Progress toward the 2022 targets is unevenly distributed across India's regions: 27 states and union territories have not yet reached 50% of their targets, whereas four entities—Telangana, Rajasthan, Karnataka, and Andaman and Nicobar—have already surpassed them.","ai_generated":true,"unit":"ember-000336#insight-2","date_modified":"2026-10-23"},{"text":"Five states are primarily responsible for the national shortfall: Maharashtra (11 GW), Uttar Pradesh (10 GW), Andhra Pradesh (9 GW), Madhya Pradesh (7 GW), and Tamil Nadu (5 GW). Four of these five states added less than 0.5 GW of new renewables between October 2021 and March 2022.","ai_generated":true,"unit":"ember-000336#insight-3","date_modified":"2026-10-23"},{"text":"New capacity additions are heavily concentrated in two states; Rajasthan and Gujarat accounted for 73% of India's new RE capacity from October 2021 to March 2022, with Rajasthan adding approximately 4.8 GW and Gujarat adding 1.8 GW.","ai_generated":true,"unit":"ember-000336#insight-4","date_modified":"2026-10-23"},{"text":"To reach the 2030 target of 450 GW of renewable energy, India must add an average of 42.5 GW per year for the next eight years, requiring solar capacity to increase to 280 GW and wind to 140 GW.","ai_generated":true,"unit":"ember-000336#insight-5","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","solar energy","wind power","rooftop photovoltaic system","Coal phase-out"],"geography_discussed":["Maharashtra","Uttar Pradesh","Madhya Pradesh","Andhra Pradesh","Punjab","Haryana","Telangana","Karnataka","Rajasthan","Andaman and Nicobar Islands","Gujarat","Tamil Nadu","Uttarakhand","Sikkim"],"frame_perspective":[],"analysis_type":["progress tracking","capacity assessment"]},{"id":"gclifun-005210","url":"https://climateinsightsdirectory.org/document/gclifun-005210","title":"Gender Assessment for E-Mobility Financing Program","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2022-04-13","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp186-ga.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses the gender landscape in India's urban transport and e-mobility sectors to identify barriers for women, such as safety concerns and limited workforce participation. It proposes a Gender Action Plan for a financing platform, focusing on increasing female employment, improving safety infrastructure (like lighting and CCTV), and collecting sex-disaggregated data to mitigate gender-blindness in project design.","ai_generated":true,"unit":"gclifun-005210#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's gender gap widened from 66.8% in 2019 to 62.5% in 2020, ranking the country 140 out of 156 nations in the World Economic Forum’s Global Gender Gap Report 2021.","ai_generated":true,"unit":"gclifun-005210#insight-1","date_modified":"2026-10-23"},{"text":"Female literacy in India is 22 percentage points below the world average, with nearly one third of women (34.2%) being illiterate compared to 17.6% of men.","ai_generated":true,"unit":"gclifun-005210#insight-2","date_modified":"2026-10-23"},{"text":"Women in India experience a significant disproportion in unpaid domestic work, spending up to 352 minutes per day on such tasks, which is 577% more than the 52 minutes spent by men.","ai_generated":true,"unit":"gclifun-005210#insight-3","date_modified":"2026-10-23"},{"text":"Climate change and pollution disproportionately affect women in India; for example, women are more vulnerable to roadway emissions due to reduced lung function caused by indoor air pollution from biomass fuels used for cooking.","ai_generated":true,"unit":"gclifun-005210#insight-4","date_modified":"2026-10-23"},{"text":"Urban transport planning in India is often 'gender blind,' failing to account for the fact that women's travel patterns differ from men's, as women tend to combine multiple destinations in one trip while men primarily travel to and from work.","ai_generated":true,"unit":"gclifun-005210#insight-5","date_modified":"2026-10-23"},{"text":"Safety is a critical barrier to mobility for women in India; 91% of women in a survey of 20 cities felt public transport was very unsafe or somewhat unsafe, and 85.4% of women in a Delhi study feared violent physical attack or rape.","ai_generated":true,"unit":"gclifun-005210#insight-6","date_modified":"2026-10-23"},{"text":"The transportation sector in India is heavily male-dominated, with a 2005 study showing only 6.85% of women were employed in the sector compared to 19% of men.","ai_generated":true,"unit":"gclifun-005210#insight-7","date_modified":"2026-10-23"},{"text":"The proposed e-mobility financing platform will implement gender mainstreaming through specific interventions, including providing internships for young women in e-mobility financing and requiring counterparties to install surveillance cameras and safety features at charging points.","ai_generated":true,"unit":"gclifun-005210#insight-8","date_modified":"2026-10-23"},{"text":"A key objective for the program is to address the lack of sex-disaggregated data in the e-mobility sector by designing robust collection plans for each sub-project to identify risks and opportunities.","ai_generated":true,"unit":"gclifun-005210#insight-9","date_modified":"2026-10-23"}],"climate_tags":["electromobility","electric vehicle","urban transport","climate finance","gender mainstreaming","air pollution","greenhouse gas emissions","climate change adaptation"],"geography_discussed":["Delhi","Mumbai","Bhopal","Chennai","Kerala","Himachal Pradesh","Maharashtra","Andhra Pradesh","Gujarat"],"frame_perspective":[],"analysis_type":["gender assessment","policy analysis","social baseline study"]},{"id":"iisd-000419","url":"https://climateinsightsdirectory.org/document/iisd-000419","title":"Supporting Marine Fishing Sustainably: A review of central and state government support for marine fisheries in India","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2021-12-20","source_url":"https://www.iisd.org/publications/supporting-marine-fisheries-india","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report documents a 43% increase in Indian government support for marine fisheries between FY 2016 and FY 2019, totaling at least INR 2,225 crore. It identifies fuel support, income support, and support for deep-sea fishing, mariculture, and vessel modernization as priority areas for impact assessment to prevent overexploitation and ensure sustainable development.","ai_generated":true,"unit":"iisd-000419#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Government support for marine fisheries in India grew by 43% between fiscal year 2016 and 2019, rising from INR 1,550 crore (USD 231 million) to at least INR 2,225 crore (USD 316 million).","ai_generated":true,"unit":"iisd-000419#insight-1","date_modified":"2026-10-23"},{"text":"When limiting the scope to subsidies for wild marine capture fishing and fishing-related activities at sea—measures likely to be covered by potential World Trade Organization rules—the total support amount drops to INR 829 crore (USD 117 million).","ai_generated":true,"unit":"iisd-000419#insight-2","date_modified":"2026-10-23"},{"text":"The report identifies three priority categories for in-depth socio-economic and environmental impact assessments: fuel support, income support, and support for vessel modernization, mariculture, and deep-sea fishing.","ai_generated":true,"unit":"iisd-000419#insight-3","date_modified":"2026-10-23"},{"text":"There is a documented need to enhance reporting practices and data transparency regarding marine fisheries support to facilitate more effective policy-making.","ai_generated":true,"unit":"iisd-000419#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Andhra Pradesh","Karnataka","Kerala","Tamil Nadu","Indonesia"],"frame_perspective":[],"analysis_type":["policy review","inventory"]}]}